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Avatar of 宋浩茹 Ellie Sung.
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
reducing parameter training volume to 2% , decreasing memory usage by 70%, and increasing training speed by 25%. Architecture Optimization: Used Direct Preference Optimization (DPO) to optimize Reinforcement Learning, improving model efficiency and decision quality. [ G itHub ] Graduate Research Assistant OctOct 2023 Institute of Information Science, Academia Sinica, Taiwan Natural Language and Knowledge Processing Lab (NLP Lab) Publication: Published in ACM CIKMSequential Text-based Knowledge Update with Self-Supervised Learning for Generative Language Models . [ Paper | GitHub ] Performance has improved by 18.8% compared to traditional methods in the past and surpassed SOTA LLMs by 39.6
Python
R
Natural Language Processing (NLP)
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立政治大學(National Chengchi University)
資訊科學系
Avatar of Patrick Hsu.
Avatar of Patrick Hsu.
Algorithm Research & Development @適着三維科技股份有限公司 TG3D Studio Inc.
2021 ~ Present
Software Engineer
Within one month
Patrick Hsu AI Research & Development As a seasoned AI engineer with six years of experience, I specialize in computer vision, 3D body model reconstruction, generative AI, and possessing some knowledge in natural language processing (NLP). | New Taipei City, [email protected] Work Experience (6 years) Algorithm Research & Design• TG3D Studio MayPresent A skilled engineer specialized in computer vision and generative AI with experience in developing and training AI models for digital fashion applications. Body AI: Virtual Try On Integrated cutting-edge technologies such as Stable Diffusion, ControlNet, and Prompt Engineering to create a sophisticated system for
Python
AI & Machine Learning
Image Processing
Employed
Ready to interview
Full-time / Interested in working remotely
4-6 years
國立台灣大學
生物產業機電工程所
Avatar of chiyun chao.
Avatar of chiyun chao.
Research & Development Engineer @三竹資訊股份有限公司
2023 ~ Present
AI工程師、機器學習工程師、深度學習工程師、資料科學家、Machine Learning Engineer、Deep Learning Engineer、Data Scientist
Within one month
趙啟雲 chiyun chao A software engineer with 4 years of experience in AI model training and backend development. In the domain of machine/deep learning, I am familiar with: - focus on NLP(Natural language processing) and DPI(Deep packet inspection) - NLP networks such as Transformer, BERT, T5 - have experience with AI training platform development with mlflow, Label Studio, DVC In terms of backend development, I have the following experience: - backend framework: Spring boot, Flask - familiar with DB syntax for Elasticsearch, PosgresSQL and MSSQL Taiwan E-mail: [email protected] Skill languages Python JAVA backend
Python
JAVA
Linux
Employed
Open to opportunities
Full-time / Not interested in working remotely
4-6 years
國立中央大學 National Central University
資訊工程
Avatar of 陳惠龍.
Avatar of 陳惠龍.
Data science lecturer @Ittraining
2020 ~ Present
Data Scientist 資料科學家_數據分析師
Within one month
HUEY-LONG CHEN 陳惠龍 Kaggle Competitions Expert: https://www.kaggle.com/alanchen1115 Competitions: NLP (自然語言處理): - Silver medal (solo): (Kaggle) The Learning Agency Lab - PII Data Detection: Develop automated techniques to detect and remove PII from educational data. 2024/04/24 - Silver medal (solo): (Kaggle) U.S. Patent Phrase to Phrase Matching: Help Identify Similar Phrases in U.S. Patents, 2022/06/21 Recommendation system (推薦系統): - Silver medal (solo): (Kaggle) OTTO – Multi-Objective Recommender System: Build a
nlp-rasa
recommender system
pytorch tensorflow
Employed
Open to opportunities
Part-time / Interested in working remotely
More than 15 years
Purdue University
School of civil engineering (Stochastic & statistical hydrology)
Avatar of the user.
Avatar of the user.
商業分析師 @凱基商業銀行股份有限公司
2021 ~ Present
Data Analyst、Data Engineer、Data Scientist、Customer Experience Analyst
Within one month
Python
English as a Second Language (ESL)
Excel
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立政治大學(National Chengchi University)
數位內容
Avatar of William Chao.
Avatar of William Chao.
Android Team Lead @104 Corporation
2018 ~ Present
Senior Software Engineer, Principal Software Engineer, Engineering Manager
Within two months
incorporating: - A clean architectural approach - Integration with Firebase services - Support for the latest Android features ensuring scalability for future organizational growth - Successfully retained a 4.6-star user rating and boosted job application rates by 10%. • AI Implementation: Created an AI tool to convert UI test cases from natural language into UiAutomator2 scripts, seamlessly integrating them into the CICD process. This resulted in a 90% acceleration UiAutomator2 test case generation. • Technology Introduction: - Flutter: Developed an in-house App Dashboard to consolidate Android/iOS/backend CICD build statuses and test report outcomes. Single-handedly
Android
Software Development
Software Architecture
Employed
Open to opportunities
Full-time / Interested in working remotely
More than 15 years
UNSW
Computer software, network and security engineering
Avatar of the user.
Avatar of the user.
Past
iOS Engoneer @VoiceTube 紅點子科技股份有限公司
2020 ~ 2023
iOS Developer
Within three months
Swift/iOS
Objective-C
Git
Unemployed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
國立臺北大學 National Taipei University
資工所
Avatar of the user.
Avatar of the user.
Data Engineer @MediaTek Inc.
2019 ~ Present
Senior Software Engineer
Within one month
Python
Linux
Machine Learning
Employed
Open to opportunities
Full-time / Interested in working remotely
6-10 years
National Tsing Hua University
Data Mining, Database System
Avatar of 金爾康.
Avatar of 金爾康.
Engineering Manager @Viscovery 創意引晴股份有限公司
2018 ~ Present
Within one month
including Recurrent Neural Network (RNN), word2vec, paragraph vector. Working Experience Intern, JulDec 2014 Phalanx Biotech Develop machine learning solutions for cancer gene detection and TSMC semiconductor quality prediction. Intern, JulAug 2013 Solid State System Assisted in CMOS MEMs microphone product development including proto-type simulation, fabrication/packaging process, defect analysis and market survey. Achievements 1. Qualified of preliminary contest of TSMC Big Data Analytics for Semiconductor Manufacturing. Taiwan,Completion of Broad-DREAM Gene Essentiality Prediction Challenge, 2014 Professional Skills Research Field Machine Learning Deep Learning Computer Vision Natural Language Processing Lang...
Deep Learning
Computer Vision
FastAPI
Employed
Open to opportunities
Full-time / Interested in working remotely
4-6 years
國立台灣大學
Electrical Engineering
Avatar of Johnny Hsieh.
Avatar of Johnny Hsieh.
Blockchain Enginner & AI Lead @Portal Network
Blockchain engineer & Blockchain consulting
Within one month
expressions, enhancing user interaction experiences. Emotion Recognition Systems: Developing AI systems capable of understanding and responding to user emotions, used to enhance customer service and user interactions. Voice Technology (TTS): Natural Voice Generation: Employing Text-to-Speech (TTS) technology to convert text into natural, fluent voice across multiple languages, suitable for virtual assistants and customer service bots. Voice Interaction Interfaces: Developing voice interaction interfaces that enable digital personas to conduct natural dialogues, offering more humanized interaction methods. Large Language Models and Natural Language Processing: Personalized Response Generation: Leveraging personality-driven large language models to provide customized
Solidity
blockchain development
Docker
Full-time / Interested in working remotely
4-6 years

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Technical Skills
Specialized knowledge and expertise within the profession (e.g. familiar with SEO and use of related tools).
Problem-Solving
Ability to identify, analyze, and prepare solutions to problems.
Adaptability
Ability to navigate unexpected situations; and keep up with shifting priorities, projects, clients, and technology.
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Within one month
Senior Engineer
Logo of MediaTek Inc..
MediaTek Inc.
2019 ~ Present
Taiwan
Professional Background
Current status
Employed
Job Search Progress
Open to opportunities
Professions
Other, Software Engineer, Python Developer
Fields of Employment
Software
Work experience
6-10 years
Management
None
Skills
Python
Linux
Machine Learning
Languages
Chinese
Professional
English
Fluent
Job search preferences
Positions
Senior Software Engineer
Job types
Full-time
Locations
New Taipei City, 台灣
Remote
Interested in working remotely
Freelance
No
Educations
School
National Tsing Hua University
Major
Data Mining, Database System
Print
L2u7kbllgdykw0tdhqll

高振倫    Joe Kao

Majoring in data mining and database system, I am taught to grow into a person with positive attitude and willing to learn and progress. Being an active, creative and innovative member in a team, I can always provide different ideas through brainstorming. With numerous experiences and a great ability to deal with problem solving, I have strong determination to succeed and hope to make a contribution to every opportunity.

Data Engineer
Hsinchu, TW
[email protected]

Skills


Big Data Engineering

  • Rich knowledge in NoSQL, skilled in RESTful search API and distributed analytics engine ElasticSearch

  • Experienced in multilingual Natural Language Processing, working on reliable data pre-processing and data cleaning.


Deep Learning

  • Leading team members to do research and build Machine Learning models, further designing prototypes on application system. 

  • Utilizing Deep Learning methods (CNN/RNN) to process heterogeneous documents and develop systems for market analysis and prediction.

Web Crawler Design

  • A high-efficiency Python crawler designer who can rapidly analyze elements in websites according to past experiences in JavaScript, HTML5, CSS, PHP and JSP.

  • Capable of putting test codes into practice and deploying mechanism of data collection and storage in various database framework such as MSSQL, MySQL, PostgreSQL, and MongoDB.


Automated Tool Development

  • Good at interactive computational environment Ipython Notebook, producing clear source code and visualizing results with plots and diagrams.

  • Developing assistant programs using Graphic User Interface which provides semi-automatic or manual operations.


DevOps

  • Building Continuous Integration framework for team members, including version control based on Git, and production deployment with Jenkins.
     
  • Setting Virtual Environments for development integrity, providing modularizing code snippets for Faster Delivery, and writing scripts for Automation.


System Administration

  • Having great experience of building and using Unix / Linux OS especially on CentOS and Ubuntu, understanding settings of Hadoop development and Google Cloud Platform.

  • Excellent grade in CCNA, being well-trained to do installation and troubleshooting on network devices such as Cisco Catalyst 2960, 3750 Switches.


Experience

Data Engineer

Big Data Innovation Team, Information Technology Dept., Realtek
(Feb. 2018 – Present)


Responsibility 


  • Develop every component in ETL process, which (1) extracts data by developing web crawlers and document parser, and then (2) transforms data by open source approaches such as pandas, finally (3) loads results into NoSQL / SQL Databases according to project requirements.
  • Research on deep learning solutions to different problems. Primarily use Keras to do semantic analysis on unstructured data. Secondarily building pipeline and process heterogeneous documents using open-sourced methods. 
  • Build and introduce Git flow and Jenkins CI server for affiliated team. Set up virtual environments for development integrity of projects, providing team members with modularizing code snippets. 
  • In most projects take charge of version control, production deployment, system administration, backup and restore, execution log analysis, and also work as an advisor for cutting edge technology. 

 Selected Projects

  • Data storage and search engine of Customer Visiting System
    1. Introduced a schema flexible NoSQL database and established ElasticSearch workflow for loading documents with inconsistent encoding and variable data structure. 

    2. Built ODBC Connector to link Python-based programs with SQL Server, making functions developed with high-level languages be able to access existent data tables.

    3. Assembled ElasticSearch query clauses to develop a Google-like searching API which features keyword highlight, customized result sorting, and fuzzy searching. 

  • Semantic analysis on unstructured sales reports
    1. Initialized machine learning environment by installing graphic card driver, cuDNN libraries, and Jupyter Lab for collaborative development. 

    2. For Word2Vec feature extraction, cleaned data and preprocessing using multilingual Natural Language Processes such as NLTK stemming and Jieba word segmentation. 

    3. Surveyed pros and cons between CNN and RNN methods toward assigned mission, eventually simplified task to sequential LSTM text classification, and completed a minimum viable production using Kaggle’s IMDB dataset, which achieved 77% precision. 

    4. Wrote scripts for the automation of model training and prediction, and designed a human labeling GUI for the generation of ground truth.

  • Market analysis of business insight reports
    1. Instructed team members to develop web crawlers in order to collect news from information technology medium. 

    2. Extracted figures and data tables in PDF files using 3 different ways, including Tabula, PDFMiner, and open-sourced machine learning approaches. 

    3. Developed a human labeled data importer, mapping file names and page numbers to corresponding figures and tables and construct a data archives for future analysis. 

    4. Referred to existent SQL tables and labeled keywords, using regular expression to extract product serial numbers from documents, and further categorized documents into product groups. 

  • Data pipeline for heterogeneous man-made documents
    1. Mostly implemented by Python libraries pandas, xlrd, and openpyxl, developed an Excel file parser providing the flexibility in fitting templates with different headers and variable numbers of worksheets. 

    2. Cooperated with other teams to set up the mechanism of monitoring sent mails from company employees, which monitors file changes in directories and imports mail attachments into databases.
       
    3. Error handling by checking data dependency, missing value, data length and type defined in SQL table, and other exceptions. 

    4. Designed format of automatic replied notice mail to inform end users of error messages and illegal cells. 

 Side Projects

  • Vehicle access control system using License Plate Recognition
Served as an internship mentor, leading 2 project members to build a machine learning model of License Plate Recognition System and implementing access control framework. Initially, we collected license plate dataset with labels and trained one CNN model for locating plates and another RNN model to recognize plate numbers. Then, we developed Flask APIs to receive video frames from web cams, calculating edit distance as similarity between predicted plate numbers and those from company database. Finally, we could control the entrance gate by checking whether the vehicle owner is our employee. Our system’s prediction accuracy reached 90% in the examination. 


Associate Engineer

Digital Service Innovation Institute, Institute for Information Industry
(Mar. 2016 – Feb. 2018)


 Responsibility 
 

  • Existent RESTful APIs maintaining and refactoring, develop new APIs with Python which provides fast prototyping and flexibly interfacing with different data source. 
  • Discover or hack website APIs, rapidly develop web crawlers for sites with large numbers of users like Facebook, PChome, and Dcard. Deploy crawler programs for routine jobs or one-off tasks. 
  • Develop automated tools from scratch, divide and conquer tasks with large quantity of data, and improve analysts’ routine work efficiency.  

 Selected Projects

  • IFEEL, a system observing groups and issues on social network
    1. Improved speed of data collection from Facebook source. Rewrote crawler to a multiprocessing version and increased retrieved data amount in each GET request from 50 posts to 1000 posts.

    2. Surveyed ElasticSearch query clause, developed data aggregation and metric calculation APIs for different data sources. 

    3. Researched on Youtube URL and completed a sub-system to display trend videos given a keyword or searching clause. 

  • Analysis tool for Nielsen Digital Ad Rating System
    1. Refactored the function in international system and designed another analysis tool for localization requirements. 

    2. Logged in and retrieved the session by a fake user-agent and made it persistent by keeping the system headers. 

    3. Found URL patterns of the original APIs endpoint and deployed data collection day-to-day

  • Facebook Profile Finder 
    1. Designed an automated bot to find the mapping from users’ email or phone number to IDs. 

    2. This program utilized Facebook’s data leaking bug which was repaired in April, 2018. 

    3. Supported user inputs of reCAPTCHA when Facebook activates bot detection. 

 Side Projects

  • Food Safety Alert System
To collect food safety news and its attachments, I developed 23 crawlers for 22 Departments of Public Health in Taiwan and 1 Gmail account inbox. The crawled text was processed to alert schools to the use of illegal ingredients. Since the program structure and syntax in above 22 web crawlers was alike and reusable, I created a Github project and committed all my codes for someone’s need in crawling Taiwanese Government official sites. 


Master of Information Systems and Applications, National Tsing Hua University 

(Sep. 2012 – Jan. 2016)

Part-time Employee (Innovative DigiTech-Enabled Applications & Services Institute,
                                       Institute for Information Industry) 

  • Implemented a mechanism to discover potential pages in Facebook posts on the purpose of enriching existent data


System Administrator (National Tsing Hua University Publisher)

  • Developed a full text search system to find keywords in corresponding pages of published books
  • Implemented a URL redirection plan to avoid site address recorded on books from being invalid 



Bachelor of Computer Science and Information Engineering, National Chung Cheng University
(Sep. 2008 – Jun. 2012)

Mobile Application - Merit Award (Chunghwa Telecom Innovation & Application Contest) 

  • Developed an Android application featuring a social media platform which let users exchange name cards on both business and daily life side


Director of Network Administration (Campus Network Association)

  • Led network administrator teams to maintain network devices in campus dormitory and provide consulting service

Kaohsiung Senior High School 
(Sep. 2005 – Jun. 2008)

KSHS Journal – Executive Editor




Resume
Profile
L2u7kbllgdykw0tdhqll

高振倫    Joe Kao

Majoring in data mining and database system, I am taught to grow into a person with positive attitude and willing to learn and progress. Being an active, creative and innovative member in a team, I can always provide different ideas through brainstorming. With numerous experiences and a great ability to deal with problem solving, I have strong determination to succeed and hope to make a contribution to every opportunity.

Data Engineer
Hsinchu, TW
[email protected]

Skills


Big Data Engineering

  • Rich knowledge in NoSQL, skilled in RESTful search API and distributed analytics engine ElasticSearch

  • Experienced in multilingual Natural Language Processing, working on reliable data pre-processing and data cleaning.


Deep Learning

  • Leading team members to do research and build Machine Learning models, further designing prototypes on application system. 

  • Utilizing Deep Learning methods (CNN/RNN) to process heterogeneous documents and develop systems for market analysis and prediction.

Web Crawler Design

  • A high-efficiency Python crawler designer who can rapidly analyze elements in websites according to past experiences in JavaScript, HTML5, CSS, PHP and JSP.

  • Capable of putting test codes into practice and deploying mechanism of data collection and storage in various database framework such as MSSQL, MySQL, PostgreSQL, and MongoDB.


Automated Tool Development

  • Good at interactive computational environment Ipython Notebook, producing clear source code and visualizing results with plots and diagrams.

  • Developing assistant programs using Graphic User Interface which provides semi-automatic or manual operations.


DevOps

  • Building Continuous Integration framework for team members, including version control based on Git, and production deployment with Jenkins.
     
  • Setting Virtual Environments for development integrity, providing modularizing code snippets for Faster Delivery, and writing scripts for Automation.


System Administration

  • Having great experience of building and using Unix / Linux OS especially on CentOS and Ubuntu, understanding settings of Hadoop development and Google Cloud Platform.

  • Excellent grade in CCNA, being well-trained to do installation and troubleshooting on network devices such as Cisco Catalyst 2960, 3750 Switches.


Experience

Data Engineer

Big Data Innovation Team, Information Technology Dept., Realtek
(Feb. 2018 – Present)


Responsibility 


  • Develop every component in ETL process, which (1) extracts data by developing web crawlers and document parser, and then (2) transforms data by open source approaches such as pandas, finally (3) loads results into NoSQL / SQL Databases according to project requirements.
  • Research on deep learning solutions to different problems. Primarily use Keras to do semantic analysis on unstructured data. Secondarily building pipeline and process heterogeneous documents using open-sourced methods. 
  • Build and introduce Git flow and Jenkins CI server for affiliated team. Set up virtual environments for development integrity of projects, providing team members with modularizing code snippets. 
  • In most projects take charge of version control, production deployment, system administration, backup and restore, execution log analysis, and also work as an advisor for cutting edge technology. 

 Selected Projects

  • Data storage and search engine of Customer Visiting System
    1. Introduced a schema flexible NoSQL database and established ElasticSearch workflow for loading documents with inconsistent encoding and variable data structure. 

    2. Built ODBC Connector to link Python-based programs with SQL Server, making functions developed with high-level languages be able to access existent data tables.

    3. Assembled ElasticSearch query clauses to develop a Google-like searching API which features keyword highlight, customized result sorting, and fuzzy searching. 

  • Semantic analysis on unstructured sales reports
    1. Initialized machine learning environment by installing graphic card driver, cuDNN libraries, and Jupyter Lab for collaborative development. 

    2. For Word2Vec feature extraction, cleaned data and preprocessing using multilingual Natural Language Processes such as NLTK stemming and Jieba word segmentation. 

    3. Surveyed pros and cons between CNN and RNN methods toward assigned mission, eventually simplified task to sequential LSTM text classification, and completed a minimum viable production using Kaggle’s IMDB dataset, which achieved 77% precision. 

    4. Wrote scripts for the automation of model training and prediction, and designed a human labeling GUI for the generation of ground truth.

  • Market analysis of business insight reports
    1. Instructed team members to develop web crawlers in order to collect news from information technology medium. 

    2. Extracted figures and data tables in PDF files using 3 different ways, including Tabula, PDFMiner, and open-sourced machine learning approaches. 

    3. Developed a human labeled data importer, mapping file names and page numbers to corresponding figures and tables and construct a data archives for future analysis. 

    4. Referred to existent SQL tables and labeled keywords, using regular expression to extract product serial numbers from documents, and further categorized documents into product groups. 

  • Data pipeline for heterogeneous man-made documents
    1. Mostly implemented by Python libraries pandas, xlrd, and openpyxl, developed an Excel file parser providing the flexibility in fitting templates with different headers and variable numbers of worksheets. 

    2. Cooperated with other teams to set up the mechanism of monitoring sent mails from company employees, which monitors file changes in directories and imports mail attachments into databases.
       
    3. Error handling by checking data dependency, missing value, data length and type defined in SQL table, and other exceptions. 

    4. Designed format of automatic replied notice mail to inform end users of error messages and illegal cells. 

 Side Projects

  • Vehicle access control system using License Plate Recognition
Served as an internship mentor, leading 2 project members to build a machine learning model of License Plate Recognition System and implementing access control framework. Initially, we collected license plate dataset with labels and trained one CNN model for locating plates and another RNN model to recognize plate numbers. Then, we developed Flask APIs to receive video frames from web cams, calculating edit distance as similarity between predicted plate numbers and those from company database. Finally, we could control the entrance gate by checking whether the vehicle owner is our employee. Our system’s prediction accuracy reached 90% in the examination. 


Associate Engineer

Digital Service Innovation Institute, Institute for Information Industry
(Mar. 2016 – Feb. 2018)


 Responsibility 
 

  • Existent RESTful APIs maintaining and refactoring, develop new APIs with Python which provides fast prototyping and flexibly interfacing with different data source. 
  • Discover or hack website APIs, rapidly develop web crawlers for sites with large numbers of users like Facebook, PChome, and Dcard. Deploy crawler programs for routine jobs or one-off tasks. 
  • Develop automated tools from scratch, divide and conquer tasks with large quantity of data, and improve analysts’ routine work efficiency.  

 Selected Projects

  • IFEEL, a system observing groups and issues on social network
    1. Improved speed of data collection from Facebook source. Rewrote crawler to a multiprocessing version and increased retrieved data amount in each GET request from 50 posts to 1000 posts.

    2. Surveyed ElasticSearch query clause, developed data aggregation and metric calculation APIs for different data sources. 

    3. Researched on Youtube URL and completed a sub-system to display trend videos given a keyword or searching clause. 

  • Analysis tool for Nielsen Digital Ad Rating System
    1. Refactored the function in international system and designed another analysis tool for localization requirements. 

    2. Logged in and retrieved the session by a fake user-agent and made it persistent by keeping the system headers. 

    3. Found URL patterns of the original APIs endpoint and deployed data collection day-to-day

  • Facebook Profile Finder 
    1. Designed an automated bot to find the mapping from users’ email or phone number to IDs. 

    2. This program utilized Facebook’s data leaking bug which was repaired in April, 2018. 

    3. Supported user inputs of reCAPTCHA when Facebook activates bot detection. 

 Side Projects

  • Food Safety Alert System
To collect food safety news and its attachments, I developed 23 crawlers for 22 Departments of Public Health in Taiwan and 1 Gmail account inbox. The crawled text was processed to alert schools to the use of illegal ingredients. Since the program structure and syntax in above 22 web crawlers was alike and reusable, I created a Github project and committed all my codes for someone’s need in crawling Taiwanese Government official sites. 


Master of Information Systems and Applications, National Tsing Hua University 

(Sep. 2012 – Jan. 2016)

Part-time Employee (Innovative DigiTech-Enabled Applications & Services Institute,
                                       Institute for Information Industry) 

  • Implemented a mechanism to discover potential pages in Facebook posts on the purpose of enriching existent data


System Administrator (National Tsing Hua University Publisher)

  • Developed a full text search system to find keywords in corresponding pages of published books
  • Implemented a URL redirection plan to avoid site address recorded on books from being invalid 



Bachelor of Computer Science and Information Engineering, National Chung Cheng University
(Sep. 2008 – Jun. 2012)

Mobile Application - Merit Award (Chunghwa Telecom Innovation & Application Contest) 

  • Developed an Android application featuring a social media platform which let users exchange name cards on both business and daily life side


Director of Network Administration (Campus Network Association)

  • Led network administrator teams to maintain network devices in campus dormitory and provide consulting service

Kaohsiung Senior High School 
(Sep. 2005 – Jun. 2008)

KSHS Journal – Executive Editor